DocumentCode :
157599
Title :
Probabilistic assessment of impacts of real-time line ratings on distribution networks
Author :
Buhari, Muhammad ; Kopsidas, Konstantinos
Author_Institution :
Electr. Energy & Power Syst. Group, Univ. of Manchester, Manchester, UK
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
Underground cabling systems which includes cables and ducts play a vital role in the planning and assessment of electro-thermal coordination that will incorporate smart energy transmission and utilize the prevailing weather conditions in implementing future smart distribution systems. This paper investigates the effects of increased adequacy through real-time line thermal ratings on network losses and risk of ageing. The analysis is performed on a range of underground cable duct installation methods in a distribution network. The paper proposes a new technique of assessing the reliability of distribution systems when real-time line rating is implemented on power cables considering the ducting methods and accounting for the reliability risks of cable ageing. Probabilistic assessments on nine different ducting installations for a buried 22kV XLPE cable showed that an oil pressure type cable ducting has the lowest risk of asset ageing when real-time line rating is implemented on the network.
Keywords :
XLPE insulation; power cables; power distribution reliability; probability; underground cables; buried XLPE cable; cable ageing; distribution networks; distribution system reliability; electrothermal coordination; network losses; oil pressure type cable ducting; power cables; probabilistic assessment; real-time line thermal ratings; smart distribution systems; smart energy transmission; underground cable duct installation methods; voltage 22 kV; weather conditions; Aging; Cable TV; Conductors; Ducts; Power cables; Reliability; Soil; cable ducting; conductor temperatures; line losses; reliability assessment; thermal ratings; underground cables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
Conference_Location :
Durham
Type :
conf
DOI :
10.1109/PMAPS.2014.6960628
Filename :
6960628
Link To Document :
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